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This research introduces a novel waveguide-QED architecture where coherent memory return is engineered via coupling geometry, allowing direct control over the timescales relevant to specific tasks. By utilizing an unmeasured propagating field for non-Markovian feedback, the system eliminates the need for intermediate measurement or classical reinjection, distinguishing it from standard quantum reservoir computing approaches. The study demonstrates that waveguide propagation timing and Kerr nonlinear dynamics can be decoupled to optimize memory profiles for sequential prediction tasks like NARMA-$n$.
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Programmable Coherent Memory Kernels for Quantum Reservoir Computing in Waveguide QED

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arXiv:2609.27072v1 Announce Type: new Abstract: Reservoir computing requires not only long memory, but also memory distributed over the timescales relevant to a given task. In most quantum reservoir computing architectures, however, the memory profile emerges from intrinsic dynamics and cannot be directly engineered. Here we introduce a waveguide-QED quantum reservoir in which coherent memory return is controlled by the coupling geometry. The reservoir consists of a driven Kerr-nonlinear resonator coupled to a one-dimensional waveguide at spatially separated points. An unmeasured propagating field carries information about past inputs and coherently returns it to the resonator after a finite propagation time, forming a non-Markovian feedback channel without intermediate measurement or classical reinjection. Delay-resolved memory benchmarks reveal two complementary functions: waveguide propagation determines when past information returns, whereas Kerr dynamics convert the returned field into nonlinear temporal features accessible through a linear readout. NARMA-$n$ prediction shows that the optimal feedback delay shifts systematically with task order and approximately tracks the explicit input-product lag. These results establish coherent delayed feedback as a mechanism for engineering task-relevant memory in quantum reservoir computing.

Abstract:Reservoir computing requires not only long memory, but also memory distributed over the timescales relevant to a given task. In most quantum reservoir computing architectures, however, the memory profile emerges from intrinsic dynamics and cannot be directly engineered. Here we introduce a waveguide-QED quantum reservoir in which coherent memory return is controlled by the coupling geometry. The reservoir consists of a driven Kerr-nonlinear resonator coupled to a one-dimensional waveguide at spatially separated points. An unmeasured propagating field carries information about past inputs and coherently returns it to the resonator after a finite propagation time, forming a non-Markovian feedback channel without intermediate measurement or classical reinjection. Delay-resolved memory benchmarks reveal two complementary functions: waveguide propagation determines when past information returns, whereas Kerr dynamics convert the returned field into nonlinear temporal features accessible through a linear readout. NARMA-$n$ prediction shows that the optimal feedback delay shifts systematically with task order and approximately tracks the explicit input-product lag. These results establish coherent delayed feedback as a mechanism for engineering task-relevant memory in quantum reservoir computing.

arXiv:2609.27072 [quant-ph]

(or arXiv:2609.27072v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2609.27072 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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